Nasrin Asgari

Bio: Nasrin Asgari is an academic researcher from University of Roehampton. The author has contributed to research in topics: Facility location problem & Supply chain. The author has an hindex of 13, co-authored 21 publications receiving 1567 citations. Previous affiliations of Nasrin Asgari include University of Portsmouth & University of Tehran.

Sustainability ranking of the UK major ports: Methodology and case study

Abstract: Maritime supply chain sustainability has not been widely studied to date. This paper investigates the sustainability performance of five major UK ports. The UK port system is one of the largest and busiest port systems both in Europe and worldwide. The scope of sustainability narrows down to economical and environmental dimensions. A questionnaire is developed to collect data from port managers and logistics experts. The AHP method is utilized to rank the ports using the collected data. Sensitivity analysis is conducted on the obtained data to verify the consistency among data and outcomes.

Network design approach for hub ports-shipping companies competition and cooperation

Abstract: In the maritime industry, the stakeholders comprising the port authorities, shipping companies, and port operators often compete and collaborate within an ecological system. This paper investigates the competition and cooperation strategies amongst three parties: two major container hub ports and the shipping companies. This research develops a game theoretic network design model which considers three scenarios: (i) perfect competition between the hub ports, (ii) perfect cooperation between the hub ports, and (iii) cooperation between the shipping companies and the hub ports as a whole. The scenarios are tested using empirical data from two leading Asian hub ports: Singapore and Hong Kong. An interval branch and bound is designed to solve the models.

Review on multi-criteria decision analysis aid in sustainable energy decision-making

Abstract: Multi-criteria decision analysis (MCDA) methods have become increasingly popular in decision-making for sustainable energy because of the multi-dimensionality of the sustainability goal and the complexity of socio-economic and biophysical systems. This article reviewed the corresponding methods in different stages of multi-criteria decision-making for sustainable energy, i.e., criteria selection, criteria weighting, evaluation, and final aggregation. The criteria of energy supply systems are summarized from technical, economic, environmental and social aspects. The weighting methods of criteria are classified into three categories: subjective weighting, objective weighting and combination weighting methods. Several methods based on weighted sum, priority setting, outranking, fuzzy set methodology and their combinations are employed for energy decision-making. It is observed that the investment cost locates the first place in all evaluation criteria and CO2 emission follows closely because of more focuses on environment protection, equal criteria weights are still the most popular weighting method, analytical hierarchy process is the most popular comprehensive MCDA method, and the aggregation methods are helpful to get the rational result in sustainable energy decision-making.